Longtao Wu

1.2k total citations · 1 hit paper
40 papers, 792 citations indexed

About

Longtao Wu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Longtao Wu has authored 40 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 31 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Longtao Wu's work include Climate variability and models (21 papers), Atmospheric aerosols and clouds (16 papers) and Meteorological Phenomena and Simulations (16 papers). Longtao Wu is often cited by papers focused on Climate variability and models (21 papers), Atmospheric aerosols and clouds (16 papers) and Meteorological Phenomena and Simulations (16 papers). Longtao Wu collaborates with scholars based in United States, China and Hong Kong. Longtao Wu's co-authors include Hui Su, Jonathan H. Jiang, Chengxing Zhai, Grant W. Petty, Brian H. Kahn, Robert G. Fovell, W. G. Read, L. Froidevaux, K. Minschwaner and N. J. Livesey and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

Longtao Wu

37 papers receiving 782 citations

Hit Papers

The Hunga Tonga‐Hunga Ha'apai Hydration of the Stratosphere 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Longtao Wu United States 15 697 626 119 52 39 40 792
K. Mohanakumar India 15 591 0.8× 557 0.9× 113 0.9× 159 3.1× 40 1.0× 58 749
Masuo Nakano Japan 19 778 1.1× 707 1.1× 256 2.2× 28 0.5× 31 0.8× 53 892
Byung‐Ju Sohn South Korea 19 1.2k 1.7× 1.0k 1.6× 82 0.7× 24 0.5× 83 2.1× 49 1.3k
Lena Iredell United States 9 773 1.1× 743 1.2× 84 0.7× 36 0.7× 102 2.6× 29 897
Rei Chemke Israel 19 614 0.9× 648 1.0× 195 1.6× 77 1.5× 15 0.4× 42 809
Walter M. Hannah United States 17 871 1.2× 898 1.4× 203 1.7× 15 0.3× 56 1.4× 39 995
Justin McLay United States 14 689 1.0× 610 1.0× 207 1.7× 58 1.1× 65 1.7× 33 775
Stephen M. Saleeby United States 24 1.4k 2.0× 1.3k 2.1× 62 0.5× 30 0.6× 42 1.1× 55 1.5k
Yolande L. Serra United States 17 864 1.2× 884 1.4× 447 3.8× 34 0.7× 55 1.4× 39 1.1k
Mao‐Sung Yao United States 18 1.3k 1.8× 1.3k 2.1× 190 1.6× 56 1.1× 34 0.9× 23 1.4k

Countries citing papers authored by Longtao Wu

Since Specialization
Citations

This map shows the geographic impact of Longtao Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Longtao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longtao Wu more than expected).

Fields of papers citing papers by Longtao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Longtao Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Longtao Wu. The network helps show where Longtao Wu may publish in the future.

Co-authorship network of co-authors of Longtao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Longtao Wu. A scholar is included among the top collaborators of Longtao Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Longtao Wu. Longtao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Su, Hui, Longtao Wu, Pingping Rong, et al.. (2025). Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning. Environmental Research Letters. 20(3). 34010–34010. 1 indexed citations
2.
Stephens, Graeme L., Maria Z. Hakuba, Hanii Takahashi, et al.. (2024). Tropical Deep Convection, Cloud Feedbacks and Climate Sensitivity. Surveys in Geophysics. 45(6). 1903–1931. 6 indexed citations
3.
Li, Jui‐Lin F., Kuan‐Man Xu, Wei‐Liang Lee, et al.. (2023). Warm Clouds Biases in CMIP6 Models Linked to Indirect Effects of Falling Ice‐Radiation Interactions Over the Tropical and Subtropical Pacific. Geophysical Research Letters. 50(19).
4.
Li, J.‐L. F., Kuan‐Man Xu, Wei‐Liang Lee, et al.. (2023). Evaluation of Radiatively Active Frozen Hydrometeors Mass in CMIP6 Global Climate Models Using CloudSat‐CALIPSO Observations. Journal of Geophysical Research Atmospheres. 128(19). 3 indexed citations
5.
Jiang, Xianan, Hui Su, Jonathan H. Jiang, et al.. (2023). Muted extratropical low cloud seasonal cycle is closely linked to underestimated climate sensitivity in models. Nature Communications. 14(1). 5586–5586. 7 indexed citations
6.
Li, Lili, Xing‐sheng Shu, Hua Geng, et al.. (2023). A novel tumor suppressor encoded by a 1p36.3 lncRNA functions as a phosphoinositide-binding protein repressing AKT phosphorylation/activation and promoting autophagy. Cell Death and Differentiation. 30(5). 1166–1183. 11 indexed citations
7.
Natraj, Vijay, M. Luo, Jean-François Blavier, et al.. (2022). Simulated multispectral temperature and atmospheric composition retrievals for the JPL GEO-IR Sounder. Atmospheric measurement techniques. 15(5). 1251–1267. 5 indexed citations
8.
Wu, Longtao, D. D. Morabito, Lei Huang, et al.. (2022). Prediction of Atmospheric Noise Temperature at the Deep Space Network With Machine Learning. Radio Science. 57(11). 1 indexed citations
9.
Natraj, Vijay, Ming Luo, Jean-François Blavier, et al.. (2021). Simulated Multispectral Temperature and Atmospheric Composition Retrievals for the JPL GEO-IR Sounder. 1 indexed citations
10.
Nguyen, Hai, et al.. (2021). Using machine learning to model uncertainty for water vapor atmospheric motion vectors. Atmospheric measurement techniques. 14(3). 1941–1957. 6 indexed citations
11.
Wu, Longtao, Yu Gu, Jonathan H. Jiang, et al.. (2018). Impacts of aerosols on seasonal precipitation and snowpack in California based on convection-permitting WRF-Chem simulations. Atmospheric chemistry and physics. 18(8). 5529–5547. 15 indexed citations
12.
Wong, Sun, Catherine M. Naud, Brian H. Kahn, Longtao Wu, & Eric J. Fetzer. (2018). Coupling of Precipitation and Cloud Structures in Oceanic Extratropical Cyclones to Large-Scale Moisture Flux Convergence. Journal of Climate. 31(23). 9565–9584. 8 indexed citations
13.
Wu, Longtao, Hui Su, О. В. Калашникова, et al.. (2017). WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley. Atmospheric chemistry and physics. 17(12). 7291–7309. 19 indexed citations
15.
Wu, Longtao, Hui Su, Robert G. Fovell, et al.. (2015). Impact of environmental moisture on tropical cyclone intensification. Atmospheric chemistry and physics. 15(24). 14041–14053. 42 indexed citations
16.
Wu, Longtao, Hui Su, Robert G. Fovell, et al.. (2012). Relationship of Environmental Relative Humidity with North Atlantic Tropical Cyclone Intensity and Intensification Rate. AGU Fall Meeting Abstracts. 2012. 12 indexed citations
17.
Wu, Longtao, Hui Su, Jonathan H. Jiang, & W. G. Read. (2012). Hydration or dehydration: competing effects of upper tropospheric cloud radiation on the TTL water vapor. Atmospheric chemistry and physics. 12(16). 7727–7735. 13 indexed citations
18.
Hu, Xiao‐Ming, et al.. (2011). Contribution of mixed-phase boundary layer clouds to the termination of ozone depletion events in the Arctic. Geophysical Research Letters. 38(21). n/a–n/a. 9 indexed citations
19.
Wu, Longtao & Grant W. Petty. (2010). Intercomparison of Bulk Microphysics Schemes in Model Simulations of Polar Lows. Monthly Weather Review. 138(6). 2211–2228. 27 indexed citations
20.
Wu, Longtao, et al.. (2005). Sea ice drifts in response to winds and tide in the Bohai Sea. Acta Oceanologica Sinica. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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